Implementations of partitioned multiphysics simulations require in general expensive, iterative simulations to be able to provide dependable results. This causes this simulation method to be too expensive in many cases. The work carried out in this thesis proposes a method that is based on the classical theory of oscillations to reduce the arising effort significantly by adaptive relaxation. The method doesn't require any information about the involved equations what even allows for application in coupled simulations between black-box-programs which have no special interfaces except reading and writing boundary-conditions in any ASCII format. It does not have the need for user settings as it automatically calculates problem specific relaxation factors. The conducted simulations meet the target of the method's design as they didn't show any limitations on specific types of problems. Furthermore there is no limitation of maximum model sizes as only few calculations have to be carried out for the adaptive relaxation.\\ Three different algorithms are created based on the developed principle. Extensive parameter studies are employed for the calibration and evaluation of the three algorithms. Verification simulations of the vibration behavior of a exhaust tract with build-in turbochargers as well as a thermal fluid-structure interaction in the simulation of a counter flow heat exchanger demonstrate the efficiency of the developed method. The comparison of the simulations with and without use of the developed algorithm reveals a decrease of the numerical cost by 50 to 60%.
The developed method reduces the additional effort needed for coupled simulations compared to single physics simulations significantly. Therefore partitioned multiphysics simulation can be extended to fields of application where such analyses have been too expensive before.

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